Tag: ATAC-seq
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How To Analyze ATAC-seq Data For Absolute Beginners Part 3: Footprinting Analysis
Introduction: Unveiling Transcription Factor Binding Sites with ATAC-seq Footprinting After mastering the basics of ATAC-seq data processing and peak calling in our previous tutorials, we now delve into one of the most powerful analytical techniques this assay enables: footprinting analysis. While standard ATAC-seq analysis reveals regions of open chromatin, footprinting takes this a step further…
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How To Analyze ATAC-seq Data For Absolute Beginners Part 2: Differential Binding Analysis Using DiffBind
Introduction: The Power of Comparative ATAC-seq Analysis ATAC-seq (Assay for Transposase-Accessible Chromatin with high-throughput sequencing) has revolutionized chromatin accessibility mapping by requiring minimal input material and offering streamlined workflows. While identifying accessible regions in a single condition provides valuable insights, the most compelling biological discoveries often come from comparing accessibility between different experimental conditions –…
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How To Analyze ATAC-seq Data For Absolute Beginners Part 1: From FASTQ To Peaks
Introduction: Understanding ATAC-seq At the heart of molecular biology lies a fundamental question: how do cells regulate which genes are expressed and when? One powerful technique to explore this question is Assay for Transposase-Accessible Chromatin sequencing, commonly known as ATAC-seq. This tutorial introduces beginners to the fascinating world of ATAC-seq data analysis using HOMER and…
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Recent Posts
- How To Analyze ATAC-seq Data For Absolute Beginners Part 3: Footprinting Analysis
- How To Analyze ATAC-seq Data For Absolute Beginners Part 2: Differential Binding Analysis Using DiffBind
- How To Analyze ATAC-seq Data For Absolute Beginners Part 1: From FASTQ To Peaks
- How To Analyze ChIP-seq Data For Absolute Beginners Part 5: Mastering Reproducibility With IDR Analysis
Tags
Adapter Trimming Alternative Splicing Analysis ATAC-seq BAM ChIP-seq chromatin accessibility Conda Environment Setting Count DESeq2 Differential Expression edgeR FASTQ gene expression Gene Expression Quantification HOMER HPC Isoform limma MACS2 miRNA miRNA-seq Normalization PCA peak calling R Reads Mapping RNAseq analysis RNAseq analysis for beginners RStudio Transcript